CES, one of the biggest technology events in the world, hosted the new chips of Intel’s Mobileye company. mobileye Specially designed for autonomous driving by EyeQ Ultra The chip stands out with its high performance.
Mobileye EyeQ Ultra, which is stated to be used in passenger and commercial vehicles, can perform 176 trillion transactions per second (TOPS). Announcing that the first silicon production will be carried out at the end of 2023, the company will appear with automobile class production in 2025.
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The EyeQ Ultra chip introduced by Intel Mobileye has high performance
The company also EyeQ6L and EyeQ6H introduced its new generation EyeQ chip-based system for advanced driver assistance systems. Level 2 autonomous driving technology Designed to support the EyeQ6L, it will begin production in mid-2023. The EyeQ6H model, which will not go into production until 2024, will also support ADAS and Level 2 autonomous driving.
Having higher performance than the EyeQ6L, the EyeQ6H will be able to perform all advanced driving assistance functions and image processing with multiple cameras. The EyeQ6H will also host third-party applications such as parking visualization and driver monitoring.
Known for providing computer vision technology that powers advanced driver assistance systems, Mobileyes released its first EyeQ chip in 2004. developed EyeQ chipused in vehicles for collision avoidance operation.
From the end of last year 100 millionth Mobileye, shipping the EyeQ chip, continues to grow rapidly. In 2018, Mobileye expanded its focus from being just a supplier to being a robotaxis operator.
of Mobileye REM mapping system, It processes data using fleet vehicles equipped with EyeQ4 to create high-resolution maps that can be used to support ADAS and autonomous driving systems. Instead of video or images, this data is stored as compressed text that collects about 10 Kilobits per kilometer. Informing the development of this new EyeQ Ultra chip, the mapping technology provides access via the cloud to provide up-to-date information about roads in real time.
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